Cyber Attacks Against the PC Learning Algorithm. - Emad Alsuwat; Hatim Alsuwat; Marco Valtorta; Csilla Farkas (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Detecting Adversarial Attacks in the Context of Bayesian Networks. - Emad Alsuwat; Hatim Alsuwat; John R. Rose; Marco Valtorta; Csilla Farkas (DBSec, 2019)

Securing Relational Database Storage with Attribute Association Aware Shuffling. - Tieming Geng; Hatim Alsuwat; Chin-Tser Huang; Csilla Farkas (DSC, 2019)

Modeling Concept Drift in the Context of Discrete Bayesian Networks. - Hatim Alsuwat; Emad Alsuwat; Marco Valtorta; John R. Rose; Csilla Farkas (KDIR, 2019)

Data Dependencies Preserving Shuffle in Relational Database. - Hatim Alsuwat; Emad Alsuwat; Tieming Geng; Chin-Tser Huang; Csilla Farkas (ICDIS, 2019)

Adversarial data poisoning attacks against the PC learning algorithm. - Emad Alsuwat; Hatim Alsuwat; Marco Valtorta; Csilla Farkas (Int. J. Gen. Syst., 2020)

Face Image Encryption Based on Feature with Optimization Using Secure Crypto General Adversarial Neural Network and Optical Chaotic Map. - Majed Alsafyani; Fahad Al-homayani; Hatim Alsuwat; Emad Alsuwat (Sensors, 2023)

An improved multi-modal framework for fake news detection using NLP and Bi-LSTM. - Emad Alsuwat; Hatim Alsuwat (J. Supercomput., 2025)

Energy-aware and efficient cluster head selection and routing in wireless sensor networks using improved artificial bee Colony algorithm. - Hatim Alsuwat; Emad Alsuwat (Peer Peer Netw. Appl., 2025)